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InMoment

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Transform feedback into actionable insights for growth.

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Overview

InMoment AI is a comprehensive solution designed to transform unstructured feedback into actionable insights, driving business growth and enhancing customer experience.

Key Features:

  • InMoment AI provides real-time insights discovery and individual customer recovery by analyzing unstructured feedback.
  • The platform uses advanced text analytics and machine learning to understand every aspect of the customer journey, including intent, effort, and emotion.
  • InMoment AI employs generative AI and large language models to summarize feedback, predict impacts, and automate actions at scale.

Benefits:

  • InMoment AI allows businesses to make informed decisions quickly by providing detailed and immediate insights from diverse customer experiences.
  • The platform enhances customer satisfaction and agent performance by understanding nuanced exchanges and linking insights to performance metrics.
  • InMoment AI helps organizations align around customer experience by predicting key drivers and their impact on metrics like NPS, CSAT, and CES.

Use Cases:

  • Businesses can use InMoment AI to analyze customer feedback and images to improve product, service, and customer experience standards.
  • Organizations can leverage the platform to detect new trends and topics in customer vocabulary, ensuring they never miss emerging trends.
  • InMoment AI enables companies to automate responses and actions, such as sending recovery emails or recognizing employees, based on AI-driven categorization.

Capabilities

  • Transforms unstructured feedback into actionable insights
  • Analyzes structured and unstructured data from the entire customer journey
  • Unifies omnichannel customer experiences
  • Predicts customer intent
  • Generates structured and concise summaries of customer feedback
  • Detects intent, effort, and emotion in customer feedback
  • Automates actions based on AI-driven categorization
  • Improves accuracy of text analytics over time using machine learning
  • Generates automated responses to customer feedback using AI
  • Facilitates real-time feedback analysis
  • Asks follow-up questions using generative AI frameworks
  • Integrates with external systems such as LangChain and Autogen
  • Develops and deploys complex, multi-step AI solutions, including web crawlers
  • Identifies areas for improvement in customer experience
  • Provides conversational intelligence for agent coaching
  • Aligns organizations around the customer experience
  • Analyzes images to ensure compliance with brand and product standards
  • Utilizes machine learning to uncover trends in customer data
  • Extracts predictions and insights from historical and real-time data, including social media and reviews

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